Author

Eduard Valera Zorita

Barcelona Institute of Science and TechnologyORCID 0000-0002-0129-0885Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genomics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Guillaume J. P. FilioniD· 4 shared Ruggero CortiniiD· 2 shared Bernhard PayeriD· 1 shared Bojana LuciciD· 1 shared Enrique VidaliD· 1 shared Heng‐Chang CheniD· 1 shared Julia Wegner· 1 shared Kristian VlahovičekiD· 1 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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4 shared papersGenomics

Guillaume J. P. FilionORCID

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4 papers

Recent·Most cited

Chromosome Compartments on the Inactive X Guide TAD Formation Independently of Transcription during X-Reactivation

Moritz Bauer, Enrique Vidal, Eduard Valera Zorita, Nil Üresin, Stefan F. Pinter, Guillaume J. P. Filion, Bernhard Payer

The paper shows that TAD formation on the inactive X occurs before transcription during X-reactivation, independent of transcriptional activity.

Nature Communications · Jun 9, 2021Peer-reviewedGenomics

Calibrating seed-based alignment heuristics with Sesame

Guillaume J. P. Filion, Ruggero Cortini, Eduard Valera Zorita

This paper develops a theoretical framework to calibrate seeding heuristics in DNA sequencing alignment and provides an open-source implementation called Sesame.

Frontiers in Genetics · Jun 25, 2020Peer-reviewedBioinformatics

Mapping short reads, faithfully

Eduard Valera Zorita, Ruggero Cortini, Guillaume J. P. Filion

This paper introduces a method to map short reads with higher faithfulness by estimating reference repetitiveness, achieving competitive performance with existing tools.

bioRxiv · Feb 10, 2020 · PreprintBioinformatics

Spatially clustered loci with multiple enhancers are frequent targets of HIV-1

Bojana Lucic, Heng‐Chang Chen, Maja Kuzman, Eduard Valera Zorita, Julia Wegner, Vera Minneker, Wei Wang, Raffaele Fronza, Stefanie Laufs, Manfred Schmidt, Ralph Stadhouders, Vassilis Roukos, Kristian Vlahoviček, Guillaume J. P. Filion, Marina Lušić

The paper identifies spatially clustered genes with multiple enhancers as frequent targets of HIV-1 integration in T cells.

Nature Communications · Sep 6, 2019Peer-reviewedGenomics